Integrated Real-Time Event Based Cost Modeling of Battery Manufacturing System

2014 ◽  
Author(s):  
Yang Li ◽  
Qing Chang
Keyword(s):  
Real Time ◽  
Manufacturing System ◽  
System Modeling ◽  
Integrated System ◽  
Cost Modeling ◽  
System Level ◽  
System Level Modeling ◽  
Event Based ◽  
Unified Index

Information of battery manufacturing system is becoming increasingly transparent, detailed and real-time. Despite the big potential in improving productivity, the advantages of information are not fully realized due to a lack of system level modeling. Motivated by this need, we develop an integrated system modeling approach to quantify the systematic impact of stations and supporting activities with a unified index called event based cost (EBC). The analysis provides a severity ranking of stations and supporting activities. A case study is conducted to demonstrate the application of the model in a battery production system and its ability to facilitate decision making.

Research on Case-Base in Semantic SOA Integrated System

2010 ◽  
Vol 139-141 ◽  
pp. 1455-1459 ◽  
Author(s):  
Qi Cheng Zhang ◽  
Lin Zhang ◽  
Yong Liang Luo ◽  
Bao Lu Wang
Keyword(s):  
Manufacturing Process ◽  
Manufacturing System ◽  
Integrated System ◽  
Integrated Manufacturing ◽  
Complex Product ◽  
Complex Products ◽  
Key Technologies ◽  
Case Base

Experience accumulation and reuse are very important for manufacturing of complex product. However, there is no mechanism to support such function in the integrated manufacturing system based on semantic SOA which is generally accepted as an effective approach to raise productivity. Specific to this problem, we propose a solution by building a case-base in semantic SOA to improve the traditional framework, in which case-base can accumulates the experiences by case study and reuse them by case retrieve. In this paper, the new architecture and workflow of the semantic SOA with build-in case-base is designed, merging and maximizing the advantages of both case-base and SOA to make up the lack of experience accumulation and reuse mechanism. Then, combined with field characteristics of complex products’ manufacturing process, construction and implementation concerning key technologies and methods of case-base are comprehensively elaborated.

scholarly journals A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

2021 ◽  
Author(s):  
Mairi Kerin ◽  
Duc Truong Pham ◽  
Jun Huang ◽  
Jeremy Hadall
Keyword(s):  
Real Time ◽  
Manufacturing Industry ◽  
Integrated System ◽  
Embedded Sensors ◽  
Functional Requirements ◽  
Digital Twin ◽  
Digital Twins ◽  
The Impact ◽  
The Internet Of Things

Abstract A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time or near real time from the entity through embedded sensors and the Internet-of-Things. Many applications of digital twins in manufacturing industry have been investigated. This article focuses on the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a UML model of a generic asset to be remanufactured. The model has been demonstrated in a case study which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.

Flow Interactions in Low Bypass Ratio Multi-Spool Turbofan Engines

2019 ◽  
Author(s):  
Vishwas Verma ◽  
Gursharanjit Singh ◽  
A. M. Pradeep
Keyword(s):  
Flow Pattern ◽  
System Modeling ◽  
Three Dimensional ◽  
Integrated System ◽  
Operating Conditions ◽  
System Level ◽  
Component Level ◽  
Turbofan Engines ◽  
Flow Interactions ◽  
Marginal Values

Abstract Multi-spool compression systems are characterized by two or more compressor stages running at different rotational speeds. The response of an individual component can be different from an integrated system. Limiting operating conditions such as choke and stall points could have substantially different effects. The present paper explores the interactions and coupling significance between different stages of a multi-spool compression system. Further, an attempt is made by modifying the shape of the inter-compressor duct (ICD) to improve the system performance. The multi-spool system in this study comprises of the NASA stage 67 as the fan followed by in-house core and bypass ducts and a single stage booster. It is observed that the flow pattern in an ICD is entirely different in stand-alone modeling than in the integrated system modeling, owing to fan wakes and booster upstream influences. The booster performance is dependent on the duct exit flow pattern. The shape of the baseline ICD is tailored to reduce extra losses which is generated due to reduction in the length of the ICD and hence making the system more compact. It is shown that the shape tailoring optimization of ICD done independently result in a significant improvement in the duct exit flow pattern and hence an improvement in the booster performance. However, this gain in the performance is reduced to marginal values for an integrated system. This happens due to a strong coupling of the ICD flow pattern with the fan wakes and highly three dimensional nature of the ICD flow pattern. Therefore, it is found that component level optimization may not give rise to an equivalent system-level improvement.

scholarly journals Energy Saving Operation of Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2216 ◽  
Author(s):  
Junfeng Wang ◽  
Zicheng Fei ◽  
Qing Chang ◽  
Shiqi Li
Keyword(s):  
Energy Saving ◽  
Real Time ◽  
Petri Net ◽  
Manufacturing System ◽  
Fuzzy Reasoning ◽  
System Level ◽  
Level Energy ◽  
Efficient Operation ◽  
Adaptive Fuzzy ◽  
Internet Of Things Technology

The energy efficient operation of a manufacturing system is important for sustainable development of industry. Apart from the device and process level, energy saving methods at the system level has attracted increasing attention with the rapid growth of the industrial Internet of things technology, which makes it possible to sense and collect real-time data from the production line and provide more opportunities for online control for energy saving purposes. In this paper, a dynamic adaptive fuzzy reasoning Petri net is proposed to decide the machine energy saving state considering the production information of a discrete stochastic manufacturing system. Fuzzy knowledge for energy saving operations of a machine is represented in weighted fuzzy production rules with certain values. The rules describe uncertain, imprecise, and ambiguous knowledge of machine state decisions. This makes an energy saving sleep decision in advance when a machine has the inclination of starvation or blockage, which is based on the real-time production rates and level of connected buffers. A dynamic adaptive fuzzy reasoning Petri net is formally defined to implement the reasoning process of the machine state decision. A manufacturing system case is used to demonstrate the application of our method and the results indicate its effectiveness for energy saving operation purposes.

Sign in / Sign up

Export Citation Format

Share Document